Update chatbot.py
Browse files- chatbot.py +123 -92
chatbot.py
CHANGED
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@@ -1,102 +1,136 @@
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import time
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import base64
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import io
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import cssutils
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from PIL import Image
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from bs4 import BeautifulSoup
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from langchain_google_genai import ChatGoogleGenerativeAI
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from langchain_core.messages import HumanMessage
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def resize_and_encode_image(image_file, max_size=(
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img = Image.open(image_file)
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img.thumbnail(max_size)
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buffered = io.BytesIO()
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img.save(buffered, format="
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image_bytes = buffered.getvalue()
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base64_str = base64.b64encode(image_bytes).decode("utf-8")
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return f"data:image/
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def beautify_html(html_code):
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soup = BeautifulSoup(html_code, "html.parser")
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return soup.prettify()
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def apply_css_rules(soup, css_code):
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sheet = cssutils.parseString(css_code)
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for rule in sheet:
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if rule.type == rule.STYLE_RULE:
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selector = rule.selectorText.strip()
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styles = rule.style.cssText
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if selector.startswith('.'):
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class_name = selector[1:]
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elements = soup.find_all(class_=class_name)
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for el in elements:
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if 'display: none' in styles:
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el.decompose()
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else:
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el['style'] = styles
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elif selector.startswith('#'):
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id_name = selector[1:]
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el = soup.find(id=id_name)
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if el:
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if 'display: none' in styles:
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el.decompose()
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else:
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el['style'] = styles
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return soup
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def generate_html_css_from_image(image_file):
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image_data_url = resize_and_encode_image(image_file)
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prompt_text = """
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You are an expert front-end developer.
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"""
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prompt = [
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HumanMessage(
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content=[
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{"type": "text", "text": prompt_text},
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{"type": "image_url", "image_url": {"url": image_data_url, "mime_type": "image/
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]
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)
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]
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llm = ChatGoogleGenerativeAI(model="gemini-2.5-flash", temperature=0)
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max_retries =
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generated_code = None
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for attempt in range(max_retries):
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@@ -112,35 +146,32 @@ Assume this is for real production-ready front-end code generation from a web UI
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.strip()
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)
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time.sleep(30 * (attempt + 1))
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else:
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if generated_code:
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soup = apply_css_rules(BeautifulSoup(html_without_style, "html.parser"), css_code)
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cleaned_html = beautify_html(str(soup))
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final_output = f"""<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<style>
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{css_code}
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</style>
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</head>
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<body>
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{cleaned_html}
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</body>
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</html>"""
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return final_output
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else:
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import time
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import base64
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import io
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from PIL import Image
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from bs4 import BeautifulSoup
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from langchain_google_genai import ChatGoogleGenerativeAI
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from langchain_core.messages import HumanMessage
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def resize_and_encode_image(image_file, max_size=(768, 768)):
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img = Image.open(image_file)
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img.thumbnail(max_size, Image.Resampling.LANCZOS)
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buffered = io.BytesIO()
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img.save(buffered, format="PNG")
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image_bytes = buffered.getvalue()
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base64_str = base64.b64encode(image_bytes).decode("utf-8")
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return f"data:image/png;base64,{base64_str}"
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def beautify_html(html_code):
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soup = BeautifulSoup(html_code, "html.parser")
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return soup.prettify()
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def generate_html_css_from_image(image_file):
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image_data_url = resize_and_encode_image(image_file)
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prompt_text = """
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You are an expert front-end developer tasked with converting a UI screenshot into a single, production-ready HTML file with embedded CSS.
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Analyze the provided screenshot meticulously and generate the corresponding HTML and CSS code.
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Here are the strict guidelines you must follow:
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1. *Complete HTML Structure*:
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* Generate a full HTML5 document including <!DOCTYPE html> , <html> , <head> , <body> .
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* Include essential meta tags: charset="UTF-8" , name="viewport" , initial-scale=1.0" .
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* The CSS MUST be embedded within a <style> tag inside the <head> section. DO NOT use inline styles.
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* Use semantic HTML5 tags (e.g., <header> , <nav> , <main> , <section> , <article> , <aside> , <footer> , <button> , <a> , <h1> to <h6> , <p> ) to accurately reflect the visual hierarchy and content purpose.
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* Organize content logically with <div> elements where semantic tags are not appropriate, using classes for styling.
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2. *Layout and Responsiveness*:
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* Employ modern CSS layout techniques: primarily *Flexbox* or *CSS Grid* for main layouts and component arrangements.
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* Implement *mobile-first responsive design*. Include at least one @media query to adapt the layout for larger screens (e.g., tablets and desktops).
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* Ensure elements maintain their relative positions, sizing, and spacing as seen in the screenshot across different screen sizes. Pay close attention to padding, margins, and alignment.
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3. *Visual Fidelity (Pixel-Perfect Approach)*:
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* Match the colors (backgrounds, text, buttons), font styles (font-family, font-size, font-weight), text alignment, and spacing (padding, margin, gap) as precisely as possible to the screenshot.
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* Accurately reproduce element dimensions (width, height) where visually apparent.
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* Replicate borders, shadows, and any other visual effects.
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* If specific fonts are not easily identifiable, use common web-safe fonts like Arial, Helvetica, or sans-serif, but prioritize replicating the visual weight and size.
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* For icons or images, use placeholder <div>`s with appropriate dimensions and background colors/gradients, or `<img> tags with alt attributes and placeholder src if specific image content isn't clearly inferable (though try to match the shape and size).
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4. *CSS Best Practices*:
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* Use descriptive and consistent class names (e.g., following a BEM-like convention or clear, semantic names like header-nav , hero-section , feature-card ).
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* Group related CSS properties together (e.g., layout, then typography, then colors).
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* Add concise CSS comments for major sections or complex styles.
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* Avoid redundant or unnecessary CSS.
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5. *Content Accuracy*:
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* Reproduce all visible text content verbatim from the screenshot.
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* For interactive elements (buttons, links), ensure they have appropriate tags (<button> , <a>) and placeholder text.
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6. *Code Quality*:
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* The generated code must be clean, well-formatted, and easy to read.
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* Do not include any JavaScript unless explicitly requested (and it's not requested here).
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* The output must be ONLY the HTML and CSS, without any conversational text or explanations. Wrap the entire output in a single Markdown HTML block ( html... ).
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7. *Example Output Format (Strictly Adhere to this structure)*:
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```html
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Generated UI</title>
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<style>
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/* Global styles */
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body {
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font-family: Arial, sans-serif;
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margin: 0;
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padding: 0;
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box-sizing: border-box;
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background-color: #ffffff; /* Adjust based on screenshot */
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}
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/* Header styles */
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.header {
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/* ... CSS for header ... */
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}
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/* Hero section styles */
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.hero-section {
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/* ... CSS for hero section ... */
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}
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/* Features section styles */
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.features-section {
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/* ... CSS for features section ... */
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}
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/* Media queries for responsiveness */
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@media (min-width: 768px) {
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/* ... responsive styles ... */
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}
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</style>
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</head>
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<body>
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<header class="header">
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</header>
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<main>
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<section class="hero-section">
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</section>
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<section class="features-section">
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</section>
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</main>
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<footer class="footer">
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</footer>
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</body>
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</html>
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```
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"""
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prompt = [
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HumanMessage(
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content=[
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{"type": "text", "text": prompt_text},
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{"type": "image_url", "image_url": {"url": image_data_url, "mime_type": "image/png"}}
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]
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)
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]
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llm = ChatGoogleGenerativeAI(model="gemini-2.5-flash", temperature=0)
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max_retries = 5
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generated_code = None
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for attempt in range(max_retries):
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.strip()
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)
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elif generated_code.strip().startswith("<!DOCTYPE html>"):
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pass
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else:
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start_index = generated_code.find("<!DOCTYPE html>")
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if start_index != -1:
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generated_code = generated_code[start_index:].strip()
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if "<html" in generated_code.lower() and "<body" in generated_code.lower():
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break
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else:
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print(f"Attempt {attempt+1}: Generated code missing HTML/BODY tags. Retrying...")
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time.sleep(5)
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except Exception as e:
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if "ResourceExhausted" in str(e) or "429" in str(e) or "500" in str(e):
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print(f"Attempt {attempt+1}: Rate limit or server error. Retrying in {30 * (attempt + 1)} seconds...")
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time.sleep(30 * (attempt + 1))
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else:
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print(f"Attempt {attempt+1}: Unexpected error: {e}. Retrying...")
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time.sleep(5)
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if generated_code:
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final_output = beautify_html(generated_code)
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if not final_output.strip().startswith("<!DOCTYPE html>"):
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final_output = "<!DOCTYPE html>\n" + final_output
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return final_output
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else:
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